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Azure Databricks (Architect) +Python & Pyspark

0 years

39 - 42 Lacs

Posted:21 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Job Summary

We are looking for an experienced

Azure Databricks Developer

to design, develop, and manage big data solutions using Azure services, with a strong focus on

Databricks

,

Spark

, and

ETL pipelines

. The ideal candidate will have a solid understanding of data engineering, Azure cloud components, and real-time/batch data processing.

Key Responsibilities

  • Design and build scalable and robust data pipelines using Azure Databricks (Spark).
  • Develop ETL/ELT processes for ingesting, transforming, and loading data from various sources.
  • Integrate data solutions with Azure Data Lake, Azure Data Factory, and SQL Databases.
  • Optimize Spark jobs for performance and cost-efficiency.
  • Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.
  • Implement data quality checks, validations, and unit testing.
  • Ensure best practices in CI/CD, data security, and governance.

Must-Have Skills

  • Strong hands-on experience with Azure Databricks and Apache Spark (PySpark/Scala).
  • Proficiency in Azure Data Factory, Azure Data Lake, and Azure Synapse (optional).
  • Solid understanding of SQL, Delta Lake, and data warehousing concepts.
  • Experience building automated data pipelines and working with large datasets.
  • Good understanding of DevOps, version control (e.g., Git), and CI/CD pipelines.
  • Strong problem-solving and debugging skills.

Nice-to-Have

  • Experience with Azure Synapse Analytics, Power BI, or Kafka/Event Hub integration.
  • Familiarity with DataBricks REST APIs, MLFlow, or Databricks Jobs orchestration.
  • Knowledge of data modeling, data governance, and metadata management.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
  • Azure certifications (e.g., DP-203, Azure Data Engineer Associate) are a plus.
Skills: python,delta lake,apache spark (pyspark/scala),pyspark,ci/cd,azure data lake,azure,azure data factory,etl/elt processes,data governance,azure databricks,data modeling,git,databricks,metadata management,architect,sql

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